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Machine Learning Startup Jobs in New York (NOW HIRING)

Extend

Machine Learning Researcher

New York, NY · On-site

$200K - $350K/yr

As a Machine Learning Engineer at Extend, you'll be responsible for building state-of-the-art ... You'll get a front row seat to how a successful startup is built with plenty of leadership ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred ...

Finch Legal Inc

Machine Learning Engineer

New York, NY · On-site

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... Prior work at an early-stage startup where you helped define ML infrastructure from scratch.

Grubhub

Senior Machine Learning Engineer

New York, NY · Hybrid

$176K - $191K/yr

... startup. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in ... or Machine Learning Engineer to work in our Discovery and Foundation team. We are focused on ...

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All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in New York

Machine Learning Startup information

See New York salary details

$27.9K

$46.6K

$96.3K

How much do machine learning startup jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning startup in New York is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the most commonly searched types of Machine Learning Startup jobs in New York? The most popular types of Machine Learning Startup jobs in New York are:
What are popular job titles related to Machine Learning Startup jobs in New York? For Machine Learning Startup jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Startup jobs in New York look for? The top searched job categories for Machine Learning Startup jobs in New York are:
What cities in New York are hiring for Machine Learning Startup jobs? Cities in New York with the most Machine Learning Startup job openings:
Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.
Senior Applied Machine Learning Engineer

Senior Applied Machine Learning Engineer

EvolutionIQ

Manhattan, NY • On-site

$134K - $177K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 21 days ago

Job description

Company Description

We're working to make the insurance industry faster, fairer and cheaper for everyone.
Evolution IQ is revolutionizing the insurance industry by changing the way claims analytics are done. We are bringing bleeding-edge technologies to one of the world's oldest industries.
Evolution IQ is developing a next-gen platform for the insurance industry. We develop machines with deep comprehension and vast data access to guide humans to the optimal decisions over large numbers of claims.  Our training data includes all parts of historical insurance claims, as well as data we source externally. Our findings are presented in intuitive products to streamline the claim investigation process. The result is potential savings in the hundreds of millions, increased fairness and added precision to insurance pricing. 

Our Team
We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We're not looking for employees. We're looking for partners in work, partners in culture-building, and partners in the future of data-driven insurance. The development team consists of world class engineers and leaders from companies like Google and Bloomberg. Each individual has had great success building large scale enterprise software and is now excited to try their hand at transforming the insurance industry.


Investors
Our investors include First Round Capital (seed investors in Uber, Square, Looker), FirstMark (Airbnb, Pinterest, Shopify) and Foundation Capital (Lending Club, CoverWallet, Netflix) and we have deep support within each of their organizations. You will also have full access to their networks and counterparts at portfolio companies for advice, ideas and community.

Job Description

Who are you? A machine learning engineer who wants to work in the areas of machine learning, natural language processing, information extraction, graph models, and AI architectures. You want to join a close-knit group and make a big impact. You thrive in an ambiguous environment and are intrinsically motivated and "just figure it out." Be the technical owner of a new, complex machine learning project, working closely with Evolution's ML product manager. Your mission starts with mapping out the opportunity and continues to launching a solution in production.

Qualifications

Outcomes

Work with PM to map business requirements to a machine learning solution

Ingest and clean raw client data

Integrate into Evolution's machine learning platform

Build, tune, evaluate models (create custom evaluation strategies)

Reproduce ML prototype in a live production environment 

Role Competencies

Works well with PM to map business requirements to ML architectures on a novel problem

Acted as owner of applied ML project from conception to shipping (1 or more)

Acted as part of an ML team that shipped a product

Expert developer who uses writes clean, efficient, easy to understand code with unit tests, functional design patterns

Expert in Python 3 and Pandas or equivalent data manipulation library

Expert data architect eager to solve complex, multi dimensional big data problems with advanced strategic leverage of databases, data assets and DAG pipeline

Excellent document writing skills

Extreme creativity and resourcefulness, appetite to solve previously unsolved problems

Other

Extreme self-starter and self-motivator 

Holds self to extremely high standards, and inspires others to do the same 

Open to giving and receiving critical feedback

Believes in the mission of the company, cares about fundamental fairness

Able to handle the ups and downs of early startup life

Enthusiasm for team work and pair work

Kind, empathetic, polite and professional

Additional Information

All your information will be kept confidential according to EEO guidelines.

Benefits

We think work should be intense, rewarding and flexible. While there is a standard set of benefits listed below, we are small enough that we can consider any specific requests that you may need. We're a well-funded company and able to offer competitive compensation packages and real ownership in your work. Specific compensation and equity varies with experience level.

 Full Medical and Dental Insurance

 401K

 Flexible vacation

 Paid team lunches in office

EvolutionIQ is an equal opportunity employer because we value diversity in all meanings of the word. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

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